Factors Predicting Health-Related Quality of Life in Patients with Type 2 Diabetes in Myanmar
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Abstract
Purpose: To investigate the predictive power of gender, type of treatment, comorbidity, and social support on health-related quality of life in patients with type 2 diabetes in Myanmar.
Design: Correlational predictive study.
Methods: A total of 100 patients with type 2 diabetes diagnosed for at least six months and came to follow-up at the Diabetes Clinic, Yangon General Hospital, Myanmar were recruited in the study. The research instruments included demographic data form, the WHO’s Quality of Life Brief questionnaire (WHOQoL-BREF), the Social-Support Questionnaire, and the Charlson Comorbidity Index (CCI). Data were analyzed with descriptive statistics and multiple regression
analysis.
Main findings: The findings showed that the participants mean age was 52.82 years (SD = 11.86). Overall, the participants had mild comorbidity ( = 1.45, SD = 1.04) and perceived moderate levels of social support (
= 19.31, SD = 5.26) and health-related quality of life (
= 77.92, SD = 11.40). In multiple regression analysis, gender, type of treatment, comorbidity, and social support jointly accounted for 16.2% of the variance in overall health-related quality of life
(R2 = .162, F(4,95) = 4.593, p < .001). Social support was the most important predictor of health-related quality of life (β = .298, p = .002), followed by female gender (β = -.211, p = .029).
Conclusion and recommendations: Worsen quality of life among type 2 diabetes patients in Myanmar could be predicted by low social support and female gender. Nurses and health care personnel should assess the patients’ needs for support in order to provide them supportive services during clinic visits. It is also important to pay attention to services provided to women with diabetes to optimize their quality of life.
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